BACKGROUND: Studies have found that Aboriginal people living with HIV/AIDS (APHAs) are more likely than non-APHAs to receive suboptimal HIV care, yet achieve similar clinical outcomes with proper care. OBJECTIVE: To compare the proportions of individuals diagnosed late with HIV between APHAs and non-APHAs within the Ontario HIV Treatment Network Cohort Study (OCS). METHODS: The analysis included OCS participants who completed the baseline visit by November 2009. Two definitions of the outcome of late HIV diagnosis were used: the proportion of participants with an AIDS-defining illness (ADI) before or within three months of HIV diagnosis; and the proportion of participants with a CD4(+) count <200 cells/mL at diagnosis. Logistic regression analysis was used to assess the association between Aboriginal ethnicity and late HIV diagnosis. RESULTS: APHAs were more likely to be female and have lower income, education and employment. No statistically significant differences were noted in the proportions receiving a late HIV diagnosis defined by ADI (Aboriginal 5.2% versus non-Aboriginal 6.3%; P=0.40). Multivariate logistic regression analysis revealed a significant association between Aboriginal ethnicity and late HIV diagnosis defined by CD4(+) count after adjusting for age and HIV risk factor (OR 1.55; P=0.04). DISCUSSION: APHAs were more likely to have a CD4(+) count <200 cells/mL at diagnosis but had similar clinical outcomes from late diagnosis when defined by ADI. However, differences may be underestimated due to recruitment limitations and selection bias. CONCLUSION: Additional work is needed to address the socioeconomic and health care needs of APHAs.
BACKGROUND: Studies have found that Aboriginal people living with HIV/AIDS (APHAs) are more likely than non-APHAs to receive suboptimal HIV care, yet achieve similar clinical outcomes with proper care. OBJECTIVE: To compare the proportions of individuals diagnosed late with HIV between APHAs and non-APHAs within the Ontario HIV Treatment Network Cohort Study (OCS). METHODS: The analysis included OCS participants who completed the baseline visit by November 2009. Two definitions of the outcome of late HIV diagnosis were used: the proportion of participants with an AIDS-defining illness (ADI) before or within three months of HIV diagnosis; and the proportion of participants with a CD4(+) count <200 cells/mL at diagnosis. Logistic regression analysis was used to assess the association between Aboriginal ethnicity and late HIV diagnosis. RESULTS: APHAs were more likely to be female and have lower income, education and employment. No statistically significant differences were noted in the proportions receiving a late HIV diagnosis defined by ADI (Aboriginal 5.2% versus non-Aboriginal 6.3%; P=0.40). Multivariate logistic regression analysis revealed a significant association between Aboriginal ethnicity and late HIV diagnosis defined by CD4(+) count after adjusting for age and HIV risk factor (OR 1.55; P=0.04). DISCUSSION: APHAs were more likely to have a CD4(+) count <200 cells/mL at diagnosis but had similar clinical outcomes from late diagnosis when defined by ADI. However, differences may be underestimated due to recruitment limitations and selection bias. CONCLUSION: Additional work is needed to address the socioeconomic and health care needs of APHAs.
Entities:
Keywords:
Aboriginal peoples; Access to care; Cohort study; HIV; HIV diagnosis; Quality of care
Authors: Yodi Mahendradhata; Riris A Ahmad; Theodorus A Kusuma; Marleen Boelaert; Marieke J Van der Werf; Michael E Kimerling; Patrick Van der Stuyft Journal: Trans R Soc Trop Med Hyg Date: 2008-06-20 Impact factor: 2.184
Authors: Kevin J P Craib; Patricia M Spittal; Evan Wood; Nancy Laliberte; Robert S Hogg; Kathy Li; Katherine Heath; Mark W Tyndall; Michael V O'Shaughnessy; Martin T Schechter Journal: CMAJ Date: 2003-01-07 Impact factor: 8.262
Authors: Jennifer K Mayben; Jennifer R Kramer; Michael A Kallen; Luisa Franzini; David R Lairson; Thomas P Giordano Journal: AIDS Patient Care STDS Date: 2007-03 Impact factor: 5.078
Authors: Angela Cescon; Sophie Patterson; Colin Davey; Erin Ding; Janet M Raboud; Keith Chan; Mona R Loutfy; Curtis Cooper; Ann N Burchell; Alexis K Palmer; Christos Tsoukas; Nima Machouf; Marina B Klein; Sean B Rourke; Anita Rachlis; Robert S Hogg; Julio S G Montaner Journal: J Int AIDS Soc Date: 2015-10-05 Impact factor: 5.396